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Average Ratings 0 Ratings
Description
The hybrid edgeCloud platform allows various smart devices, ranging from smartphones to IoT gadgets, to function as cloud servers when necessary. The edgeEngine serves as a downloadable software that empowers these devices to operate as cloud servers under suitable conditions. This versatile engine is compatible with any smart device, regardless of its operating system or network, and integrates seamlessly with any cloud infrastructure. In contrast to traditional backend development, which often demands significant time and financial resources for server maintenance and scaling, mimik offers a serverless environment tailored for edge microservices, ensuring optimal performance and efficiency. By utilizing the edgeEngine, users can enhance any smart device with basic computing capabilities—such as smartphones, PCs, set-top boxes, residential and IoT gateways, game consoles, smart TVs, drones, robots, infotainment systems in cars, and industrial sensors—with server functionality. Furthermore, developers have the flexibility to either create and deploy custom edge microservices or take advantage of mimik’s pre-built, field-proven microservices to introduce innovative solutions or modernize existing applications. This capability not only streamlines the development process but also significantly reduces the barriers to implementing cutting-edge technology.
Description
Supports secure connections with devices that utilize HTTP and MQTT protocols, while receiving data from LoRa Network Servers as well as streams from various IoT Clouds. This versatile serverless computing environment, often referred to as function as a service (FaaS), offers online editing capabilities along with codecs and integrations. It processes and normalizes incoming data from devices, translating uplink messages and encoding downlink commands to streamline integration function deployment. The system efficiently manages device registration, configuration, provisioning, and facilitates Firmware Over The Air (FOTA) scheduling and batching. Users can easily deregister and reregister devices through the LNS Switch feature. It securely stores LoRaWAN keys and SSL/TLS certificates, providing access to real-time data insights. With exceptional performance, it can handle large volumes of data, allowing for quick queries across billions of telemetric and historical records. Capable of ingesting millions of data points in a second, it also offers vertical and horizontal scalability driven by a robust data streaming processing engine. Additionally, this architecture ensures that data management remains efficient and responsive, adapting to the ever-growing demands of IoT applications.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Docker
Flybits
Google Cloud Platform
Google Maps
Microsoft Azure
Salesforce
Treasure Data
Integrations
Amazon Web Services (AWS)
Docker
Flybits
Google Cloud Platform
Google Maps
Microsoft Azure
Salesforce
Treasure Data
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
mimik
Country
United States
Website
mimik.com
Vendor Details
Company Name
myDevices
Founded
2013
Country
United States
Website
mydevices.com/platform/
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization